Big Data Team Lead

Who we are DoubleVerify is a big data analytics company, gone public in April 2021 (NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world like Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies, if you’ve seen an ad online via Web, Mobile, or CTV device then there are big chances that it was measured by us. We operate at a massive scale, we handle over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) to help our clients make decisions before, during and after the ad is served. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. We are global, we have R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego, we work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have huge impact on the industry, and the web - then your place is with us.   What will you do You will build, mentor and manage a team of data and software engineers. You will process 10’s of billions of records a day using mainly Scala and Python, utilizing many advanced technologies like Kafka, Docker, Kubernetes, Vertica analytic DB, DataBricks and GCP managed solutions like Google Composer and many more. You will build the next generation of digital advertising optimization tools used by the biggest advertisers in the world to help them understand and optimize their ROI. This is a true big data product at a huge scale and high impact for our clients and the digital advertising industry as a whole. You will maintain a very high engineering standard that includes testing, automated deployment, infrastructure as code, high degree of monitoring and availability.   What you need to have A leader by nature - with a strong understanding of the entire development lifecycle Great interpersonal and communication skills Passion for development with high quality and a sharp mind Great analytical skills and well versed with SQL Experience maintaining business-critical production systems At least 5 years in Software Development At least 3 years experience coding in Python\Java\C#\Scala and a like At least 3 years experience working with relational databases At least 1 year of experience managing people Experience with Python at least 1 year - more is a plus Experience with CI/CD pipeline, Docker & Kubernetes, public cloud providers - a plus Experience with non-relational DB - a plus Experience with streaming processing - a plus Experience with online advertising technologies - a plus